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Riccardo Bellazzi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Stefania Montani, Giuseppe De Nicolao
    Intelligent Analysis of Clinical Time Series by Combining Structural Filtering and Temporal Abstractions. [Citation Graph (0, 0)][DBLP]
    AIMDM, 1999, pp:261-270 [Conf]
  2. Stefania Montani, Riccardo Bellazzi, Luigi Portinale, Alberto Riva, Mario Stefanelli
    Multi-modal Reasoning in Diabetic Patient Management. [Citation Graph (0, 0)][DBLP]
    AIMDM, 1999, pp:113-123 [Conf]
  3. Riccardo Bellazzi, Ivano Azzini, Gianna Toffolo, Stefano Bacchetti, Mario Lise
    Mining Data from a Knowledge Management Perspective: An Application to Outcome Prediction in Patients with Resectable Hepatocellular Carcinoma. [Citation Graph (0, 0)][DBLP]
    AIME, 2001, pp:40-49 [Conf]
  4. Riccardo Bellazzi, Liliana Ironi, Raffaella Guglielmann, Mario Stefanelli
    Learning from Data Through the Integration of Qualitative Models and Fuzzy Systems. [Citation Graph (0, 0)][DBLP]
    AIME, 1997, pp:501-512 [Conf]
  5. Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Roberto Bellazzi
    Quality Assessment of Hemodialysis Services through Temporal Data Mining. [Citation Graph (0, 0)][DBLP]
    AIME, 2003, pp:11-20 [Conf]
  6. Cristiana Larizza, Riccardo Bellazzi, Alberto Riva
    Temporal Abstractions for Diabetic Patients Management. [Citation Graph (0, 0)][DBLP]
    AIME, 1997, pp:319-330 [Conf]
  7. Stefania Montani, Paolo Magni, Abdul V. Roudsari, Ewart R. Carson, Riccardo Bellazzi
    Integrating Different Methodologies for Insulin Therapy Support in Type 1 Diabetic Patients. [Citation Graph (0, 0)][DBLP]
    AIME, 2001, pp:121-130 [Conf]
  8. Alberto Riva, Riccardo Bellazzi
    High Level Control Strategies for Diabetes Therapy. [Citation Graph (0, 0)][DBLP]
    AIME, 1995, pp:185-196 [Conf]
  9. Lucia Sacchi, Riccardo Bellazzi, Cristiana Larizza, Riccardo Porreca, Paolo Magni
    Learning Rules with Complex Temporal Patterns in Biomedical Domains. [Citation Graph (0, 0)][DBLP]
    AIME, 2005, pp:23-32 [Conf]
  10. Fulvia Ferrazzi, Paola Sebastiani, Isaac S. Kohane, Marco Ramoni, Riccardo Bellazzi
    Dynamic Bayesian Networks in Modelling Cellular Systems: a Critical Appraisal on Simulated Data. [Citation Graph (0, 0)][DBLP]
    CBMS, 2006, pp:544-549 [Conf]
  11. Lucia Sacchi, Riccardo Bellazzi, Riccardo Porreca, Cristiana Larizza, Paolo Magni
    Precedence Temporal Networks from Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    CBMS, 2005, pp:109-114 [Conf]
  12. Paolo Magni, Riccardo Bellazzi, Franco Locatelli
    Using uncertainty management techniques in medical therapy planning: A decision-theoretic approach. [Citation Graph (0, 0)][DBLP]
    Applications of Uncertainty Formalisms, 1998, pp:38-57 [Conf]
  13. Riccardo Bellazzi
    Causal Probabilistic Networks for Dynamic Modeling. [Citation Graph (0, 0)][DBLP]
    ECAI, 1996, pp:471-475 [Conf]
  14. Stefania Montani, Riccardo Bellazzi, Alberto Riva, Cristiana Larizza, Luigi Portinale, Mario Stefanelli
    Artificial Intelligence Techniques for Diabetes Management: the T-IDDM Project. [Citation Graph (0, 0)][DBLP]
    ECAI, 2000, pp:716-720 [Conf]
  15. Riccardo Bellazzi, Stefania Montani, Luigi Portinale
    Retrieval in a Prototype-Based Case Library: A Case Study in Diabetes Therapy Revision. [Citation Graph (0, 0)][DBLP]
    EWCBR, 1998, pp:64-75 [Conf]
  16. Stefania Montani, Riccardo Bellazzi, Luigi Portinale, Mario Stefanelli
    Evaluating a Multi-modal Reasoning Sytem in Diabetes Care. [Citation Graph (0, 0)][DBLP]
    EWCBR, 2000, pp:467-478 [Conf]
  17. Stefania Montani, Luigi Portinale, Riccardo Bellazzi, Giorgio Leonardi
    RHENE: A Case Retrieval System for Hemodialysis Cases with Dynamically Monitored Parameters. [Citation Graph (0, 0)][DBLP]
    ECCBR, 2004, pp:659-672 [Conf]
  18. Riccardo Bellazzi, Stefania Montani, Luigi Portinale, Alberto Riva
    Integrating Rule-Based and Case-Based Decision Making in Diabetic Patient Management. [Citation Graph (0, 0)][DBLP]
    ICCBR, 1999, pp:386-400 [Conf]
  19. Riccardo Bellazzi, Cristiana Larizza, Alberto Riva
    Interpreting Longitudinal Data through Temporal Abstractions: An Application to Diabetic Patients Monitoring. [Citation Graph (0, 0)][DBLP]
    IDA, 1997, pp:287-298 [Conf]
  20. Riccardo Bellazzi, Raffaella Guglielmann, Liliana Ironi
    A Qualitative-Fuzzy Framework for Nonlinear Black-Box System Identification. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:1041-1046 [Conf]
  21. Carlo Berzuini, David J. Spiegelhalter, Riccardo Bellazzi
    Bayesian Networks Applied to Therapy Monitoring. [Citation Graph (0, 0)][DBLP]
    UAI, 1991, pp:35-43 [Conf]
  22. Riccardo Bellazzi, Raffaella Guglielmann, Liliana Ironi
    Learning from biomedical time series through the integration of qualitative models and fuzzy systems. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2001, v:21, n:1-3, pp:215-220 [Journal]
  23. Riccardo Bellazzi, Liliana Ironi, Raffaella Guglielmann, Mario Stefanelli
    Qualitative models and fuzzy systems: an integrated approach for learning from data. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1998, v:14, n:1-2, pp:5-28 [Journal]
  24. Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Roberto Bellazzi
    Temporal data mining for the quality assessment of hemodialysis services. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2005, v:34, n:1, pp:25-39 [Journal]
  25. Riccardo Bellazzi, Cristiana Larizza, Paolo Magni, Stefania Montani, Mario Stefanelli
    Intelligent analysis of clinical time series: an application in the diabetes mellitus domain. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2000, v:20, n:1, pp:37-57 [Journal]
  26. Riccardo Bellazzi, Silvana Quaglini
    Reusable influence diagrams. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1994, v:6, n:6, pp:483-500 [Journal]
  27. Riccardo Bellazzi, C. Siviero, Mario Stefanelli, Giuseppe De Nicolao
    Adaptive controllers for intelligent monitoring. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1995, v:7, n:6, pp:515-540 [Journal]
  28. Stefania Montani, Paolo Magni, Riccardo Bellazzi, Cristiana Larizza, Abdul V. Roudsari, Ewart R. Carson
    Integrating model-based decision support in a multi-modal reasoning system for managing type 1 diabetic patients. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2003, v:29, n:1-2, pp:131-151 [Journal]
  29. Stefania Montani, Luigi Portinale, Giorgio Leonardi, Riccardo Bellazzi, Roberto Bellazzi
    Case-based retrieval to support the treatment of end stage renal failure patients. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2006, v:37, n:1, pp:31-42 [Journal]
  30. Alberto Riva, Riccardo Bellazzi
    Learning temporal probabilistic causal models from longitudinal data. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1996, v:8, n:3, pp:217-234 [Journal]
  31. Alberto Riva, Riccardo Bellazzi, Giordano Lanzola, Mario Stefanelli
    A development environment for knowledge-based medical applications on the world-wide web. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1998, v:14, n:3, pp:279-293 [Journal]
  32. Blaz Zupan, John H. Holmes, Riccardo Bellazzi
    Knowledge-based data analysis and interpretation. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2006, v:37, n:3, pp:163-165 [Journal]
  33. Stefania Montani, Luigi Portinale, Riccardo Bellazzi, Giorgio Leonardi
    Case Retrieval with Time Series Features. [Citation Graph (0, 0)][DBLP]
    Intelligenza Artificiale, 2005, v:2, n:2, pp:15-23 [Journal]
  34. Riccardo Bellazzi, Cristiana Larizza, Alberto Riva
    Temporal Abstractions for Interpreting Diabetic Patients Monitoring Data. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 1998, v:2, n:1-4, pp:97-122 [Journal]
  35. Riccardo Bellazzi, Paolo Magni, Giuseppe De Nicolao
    Dynamic Probabilistic Networks for Modelling and Identifying Dynamic Systems: a MCMC Approach. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 1997, v:1, n:1-4, pp:245-262 [Journal]
  36. Riccardo Bellazzi, Raffaella Guglielmann, Liliana Ironi, Cesare Patrini
    A Hybrid Input-Output Approach to Model Metabolic Systems: An Application to Intracellular Thiamine Kinetics. [Citation Graph (0, 0)][DBLP]
    Journal of Biomedical Informatics, 2001, v:34, n:4, pp:221-248 [Journal]
  37. Paolo Magni, Riccardo Bellazzi, Giuseppe De Nicolao
    Bayesian Function Learning Using MCMC Methods. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1998, v:20, n:12, pp:1319-1331 [Journal]
  38. Riccardo Bellazzi, Alberto Riva
    Learning Bayesian networks probabilities from longitudinal data. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 1998, v:28, n:5, pp:629-636 [Journal]
  39. M. N. Kamel Boulos, F. E. Harvey, Abdul V. Roudsari, Riccardo Bellazzi, M. Elena Hernando, T. Deutsch, Derek G. Cramp, Ewart R. Carson
    A proposed semantic framework for diabetes education content management, customisation and delivery within the M2DM project. [Citation Graph (0, 0)][DBLP]
    Computer Methods and Programs in Biomedicine, 2006, v:83, n:3, pp:188-197 [Journal]
  40. Stefania Montani, Riccardo Bellazzi, Luigi Portinale, Giuseppe d'Annunzio, Stefano Fiocchi, Mario Stefanelli
    Diabetic patients management exploiting case-based reasoning techniques. [Citation Graph (0, 0)][DBLP]
    Computer Methods and Programs in Biomedicine, 2000, v:62, n:3, pp:205-218 [Journal]
  41. Riccardo Bellazzi, Stefania Montani, Alberto Riva, Mario Stefanelli
    Web-based telemedicine systems for home-care: technical issues and experiences. [Citation Graph (0, 0)][DBLP]
    Computer Methods and Programs in Biomedicine, 2001, v:64, n:3, pp:175-187 [Journal]
  42. Riccardo Bellazzi, Cristiana Larizza, Stefania Montani, Alberto Riva, Mario Stefanelli, Giuseppe d'Annunzio, R. Lorini, Enrique J. Gomez, E. Hernando, E. Brugues
    A telemedicine support for diabetes management: the T-IDDM project. [Citation Graph (0, 0)][DBLP]
    Computer Methods and Programs in Biomedicine, 2002, v:69, n:2, pp:147-161 [Journal]
  43. Lucia Sacchi, Cristiana Larizza, Carlo Combi, Riccardo Bellazzi
    Data mining with Temporal Abstractions: learning rules from time series. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2007, v:15, n:2, pp:217-247 [Journal]

  44. On Quality of Different Annotation Sources for Gene Expression Analysis. [Citation Graph (, )][DBLP]


  45. An Architecture for Automated Reasoning Systems for Genome-Wide Studies. [Citation Graph (, )][DBLP]


  46. Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use. [Citation Graph (, )][DBLP]


  47. Temporal Data Mining of HIV Registries: Results from a 25 Years Follow-Up. [Citation Graph (, )][DBLP]


  48. Analysis and Visualization of Spatial Proteomic Data for Tissue Characterization. [Citation Graph (, )][DBLP]


  49. Multivariate Time Series Classification with Temporal Abstractions. [Citation Graph (, )][DBLP]


  50. Translational Bioinformatics: Challenges and Opportunities for Case-Based Reasoning and Decision Support. [Citation Graph (, )][DBLP]


  51. Mining Administrative and Clinical Diabetes Data with Temporal Association Rules. [Citation Graph (, )][DBLP]


  52. A Methodology for the Extraction of Quantitative Risk Indexes from Medical Injuries Compensation Claims. [Citation Graph (, )][DBLP]


  53. Inferring gene expression networks via static and dynamic data integration. [Citation Graph (, )][DBLP]


  54. Automatic Pedigree Reconstruction for Genetic Studies in Isolated Populations. [Citation Graph (, )][DBLP]


  55. A Dynamic Query System for Supporting Phenotype Mining in Genetic Studies. [Citation Graph (, )][DBLP]


  56. Temporal abstraction for feature extraction: A comparative case study in prediction from intensive care monitoring data. [Citation Graph (, )][DBLP]


  57. Artificial intelligence in medicine AIME'07. [Citation Graph (, )][DBLP]


  58. The coming of age of artificial intelligence in medicine. [Citation Graph (, )][DBLP]


  59. TimeClust: a clustering tool for gene expression time series. [Citation Graph (, )][DBLP]


  60. A procedure to decompose high resolution mass spectra. [Citation Graph (, )][DBLP]


  61. Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks. [Citation Graph (, )][DBLP]


  62. Phenotype forecasting with SNPs data through gene-based Bayesian networks. [Citation Graph (, )][DBLP]


  63. A hierarchical Naïve Bayes Model for handling sample heterogeneity in classification problems: an application to tissue microarrays. [Citation Graph (, )][DBLP]


  64. Phenotypic and genotypic data integration and exploration through a web-service architecture. [Citation Graph (, )][DBLP]


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